86
/ 100
Well engineered. The main gaps are issue and PR templates and a contributing guide.
AI assistant for international trade — 38 B2B skills (lead gen, OSINT, email, docs, compliance). End-to-end customer development pipeline. Runs locally. 外贸业务员 AI 助手。
Top fixes
Highest-impact changes first, ranked by point weight
- 1Install and run instructions9pt
Add a .env.example listing all required environment variables so contributors know what to set up.
- 2Reproducibility6pt
Add a Dockerfile, .nvmrc, or .python-version to pin the runtime version and make the environment reproducible.
- 3Reproducibility6pt
Add .github/dependabot.yml with at least one package-ecosystem entry, or a renovate.json, so dependencies are updated automatically.
- 4Issue and PR templates6pt
Add .github/ISSUE_TEMPLATE/ with bug_report.md and feature_request.md to guide contributors. It dramatically improves issue quality.
Working through the fixes? Let every push regrade itself.
The free GitHub App rescans this repo on every push and posts the grade as a commit check, so the score climbs without coming back to rescan by hand.
Scorecard
Every check, grouped by category and sorted worst-first
Documentation
82
No CONTRIBUTING.md found (−47 pts base + up to −53 pts more for content).
→ Add a CONTRIBUTING.md telling newcomers how to get involved. Include setup, code style, test, and PR instructions.
README documents how to install the project.
README is present.
Licensed under AGPL-3.0.
Engineering
84
No issue or PR templates found (−100 pts).
→ Add .github/ISSUE_TEMPLATE/ with bug_report.md and feature_request.md to guide contributors. It dramatically improves issue quality.
Lockfile present (requirements.txt). Installs are reproducible.
Test files detected (tests).
CI is configured (.github/workflows/test.yml).
Linter or formatter configured ([tool.ruff] / [tool.black] in pyproject.toml).
Project health
98
Dependency manifest found (pyproject.toml).
Repository has a description.
Actively maintained (pushed within the last month).
.gitignore present.
Repository health signals
Activity, community, and responsiveness at scan time
Activity
- -Commits (30d / 90d)
- 9Forks
- 14Releaseslatest 3mo ago
Community
- 57% - FairCommunity health
- 1 bus factorlowauthor own >50% of commits
- 57Watchers
Responsiveness
- -Median issue response
- <1hMedian PR merge time
- 0Open issues
Repository files23 root entries
- .githubGood: CI is configured (.github/workflows/test.yml).
- .trade-template
- docs
- scripts
- skills
- static
- testsGood: Test files detected (tests).
- trade
- .gitattributes
- .gitignoreGood: .gitignore present.
- COMPATIBILITY.md
- LICENSEGood: Licensed under AGPL-3.0.
- pre_install_check.py
- pyinstaller.spec
- pyproject.tomlGood: Dependency manifest found (pyproject.toml).
- README.en.mdGood: README is present.Good: README is well structured with multiple sections.Good: README includes screenshots or visuals. Great for first impressions.Good: README has code examples.Good: README links to a live demo or deployed app.Good: README includes status badges.Good: README documents how to install the project.Good: README documents how to run the project.
- README.md
- requirements.txtGood: Lockfile present (requirements.txt). Installs are reproducible.
- SECURITY.mdGood: Security policy present.
- server.py
- tradewin-linux.spec
- tradewin-mac.spec
- tradewin.py
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